Yueqin Huang
Papers
1
Total Citations
17
H-Index
1
About
Yueqin Huang is a researcher in robotics and autonomous systems, with a primary focus on complete coverage path planning (CCPP) for intelligent sweeping robots. Her most-cited work, "Complete Coverage Path Planning for Intelligent Sweeping Robot" (2021, 17 citations), addresses a fundamental challenge in automatic control: enabling robots to efficiently and thoroughly cover an entire area while minimizing redundant movement and energy consumption. Huang’s research advances beyond conventional unit decomposition methods by optimizing path efficiency, directly improving the real-world performance of domestic cleaning robots. Her contributions are particularly impactful in the field of service robotics, where practical, computationally efficient algorithms are critical for consumer-grade devices. Though her citation count is still growing, Huang’s work represents an important step toward more intelligent, autonomous home appliances, bridging the gap between theoretical path planning and deployable robotic solutions. Her research is especially relevant for students and engineers working on mobile robot navigation, automation, and smart home technologies.
Research Focus
Key Achievements
Top Papers
- 1Complete Coverage Path Planning for Intelligent Sweeping Robot17 citations · 2021